Deliverable 5.2 - Revision history

Andrew at 21:29, 6 November 2018

2018-11-06T21:29:20Z

Andrew at 21:28, 6 November 2018

2018-11-06T21:28:57Z

Andrew at 21:26, 6 November 2018

2018-11-06T21:26:43Z

Andrew at 21:26, 6 November 2018

2018-11-06T21:26:19Z

Andrew: Created page with " == “Boom-and-bust” model == ---- ---- == Executive summary == === Deliverable 5.2 will be made available shortly. ==="

2018-11-06T15:24:06Z

Created page with " == “Boom-and-bust” model == ---- ---- == Executive summary == === Deliverable 5.2 will be made available shortly. ==="

New page

== “Boom-and-bust” model ==

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== Executive summary ==

=== Deliverable 5.2 will be made available shortly. ===

← Older revision		Revision as of 21:29, 6 November 2018
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	This document describes the methodology behind the price prediction tool developed in WP5, the GRA. The purpose of the GRA is to predict price over time (up to 12 months) for a species based on historical data (at least 36 months series) and on research of previous "boom and bust" cycles in the fisheries market. Finally, this deliverable also provides instructions, already circulated to the Syntesa partners, on how to implement this tool into the PrimeDSS in WP6.		This document describes the methodology behind the price prediction tool developed in WP5, the GRA. The purpose of the GRA is to predict price over time (up to 12 months) for a species based on historical data (at least 36 months series) and on research of previous "boom and bust" cycles in the fisheries market. Finally, this deliverable also provides instructions, already circulated to the Syntesa partners, on how to implement this tool into the PrimeDSS in WP6.
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	=== [http://www.dsf.primefish.eu/w/images/d/dc/D5.2_Boom_Bust_Model.pdf Download Full Report] ===		=== [http://www.dsf.primefish.eu/w/images/d/dc/D5.2_Boom_Bust_Model.pdf Download Full Report] ===

← Older revision		Revision as of 21:28, 6 November 2018
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	This document describes the methodology behind the price prediction tool developed in WP5, the GRA. The purpose of the GRA is to predict price over time (up to 12 months) for a species based on historical data (at least 36 months series) and on research of previous "boom and bust" cycles in the fisheries market. Finally, this deliverable also provides instructions, already circulated to the Syntesa partners, on how to implement this tool into the PrimeDSS in WP6.		This document describes the methodology behind the price prediction tool developed in WP5, the GRA. The purpose of the GRA is to predict price over time (up to 12 months) for a species based on historical data (at least 36 months series) and on research of previous "boom and bust" cycles in the fisheries market. Finally, this deliverable also provides instructions, already circulated to the Syntesa partners, on how to implement this tool into the PrimeDSS in WP6.

−	=== Download Full Report ===	+
		+	=== [http://www.dsf.primefish.eu/w/images/d/dc/D5.2_Boom_Bust_Model.pdf Download Full Report] ===

@@ Line 8: / Line 8: @@
 == Executive summary ==
-=== The main aim of the PrimeFish project is to develop an innovative decision support framework, PrimeDSF, which contains economic and statistical models and a decision support system, PrimeDSS, that can be used by the industry and policymakers to better predict consequences based on existing knowledge and simulation/forecasting models. Starting from the analysis carried out in Task 2.3 “Boom and Bust Analysis” and D2.4, this deliverable describes how the FSDA toolbox will be used to predict price behaviour in the growth risk analyser (GRA) of PrimeDSS. ===
+To simplify the calculations to be done in the GRA, this deliverable is based on different statistical models to the one used in WP2. The Kalman filter used there generated 4-5 graphs for each analysis that had to be read together. As only statisticians could probably fully grasp the information revealed in the graphs, it was deemed necessary to develop more easily accessible presentations. For this purpose, new models were compiled for use in WP5 and WP6 that summarize the price forecast in a single chart joined by a table that shows the price expected for each month and the extreme the price can take.
-=== To simplify the calculations to be done in the GRA, this deliverable is based on different statistical models to the one used in WP2. The Kalman filter used there generated 4-5 graphs for each analysis that had to be read together. As only statisticians could probably fully grasp the information revealed in the graphs, it was deemed necessary to develop more easily accessible presentations. For this purpose, new models were compiled for use in WP5 and WP6 that summarize the price forecast in a single chart joined by a table that shows the price expected for each month and the extreme the price can take. ===
+This document describes the methodology behind the price prediction tool developed in WP5, the GRA. The purpose of the GRA is to predict price over time (up to 12 months) for a species based on historical data (at least 36 months series) and on research of previous "boom and bust" cycles in the fisheries market. Finally, this deliverable also provides instructions, already circulated to the Syntesa partners, on how to implement this tool into the PrimeDSS in WP6.
 === Download Full Report ===

← Older revision		Revision as of 21:26, 6 November 2018
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	== Executive summary ==		== Executive summary ==

−	=== ~~Deliverable 5~~.2 will be ~~made available shortly~~. ===	+
		+	=== The main aim of the PrimeFish project is to develop an innovative decision support framework, PrimeDSF, which contains economic and statistical models and a decision support system, PrimeDSS, that can be used by the industry and policymakers to better predict consequences based on existing knowledge and simulation/forecasting models. Starting from the analysis carried out in Task 2.3 “Boom and Bust Analysis” and D2.4, this deliverable describes how the FSDA toolbox will be used to predict price behaviour in the growth risk analyser (GRA) of PrimeDSS. ===
		+
		+	=== To simplify the calculations to be done in the GRA, this deliverable is based on different statistical models to the one used in WP2. The Kalman filter used there generated 4-5 graphs for each analysis that had to be read together. As only statisticians could probably fully grasp the information revealed in the graphs, it was deemed necessary to develop more easily accessible presentations. For this purpose, new models were compiled for use in WP5 and WP6 that summarize the price forecast in a single chart joined by a table that shows the price expected for each month and the extreme the price can take. ===
		+
		+	=== This document describes the methodology behind the price prediction tool developed in WP5, the GRA. The purpose of the GRA is to predict price over time (up to 12 months) for a species based on historical data (at least 36 months series) and on research of previous "boom and bust" cycles in the fisheries market. Finally, this deliverable also provides instructions, already circulated to the Syntesa partners, on how to implement this tool into the PrimeDSS in WP6. ===
		+
		+	=== Download Full Report ===